Announcements

  1. Course page is on line (Feb.15)
  2. Practice Question 1 [for Feb.15 lecture] is posted. (Feb. 18)
  3. Answers to Practice Question 1 posted. (Feb. 25)
  4. HW1 Questions posted. (Feb.25)
  5. HW1 Answers posted. (Feb. 25)
  6. HW2 Questions posted. (Mar.8)
  7. HW2 Answers posted (Mar.8)
  8. Midterm Exam I: 19 March (Friday) 16:00 - 17:45 at A2 and D9. Coverage: Ch.6 and Ch.7. Bring a calculator. No cell phone allowed. (Mar.15)
  9. Midterm Exam 1 Result posted. (Mar.31)
  10. HW3 Questions posted (April 10)
  11. HW4 Questions posted (April 10)
  12. Midterm Exam II: 19 April (Monday) 10:00 - 11:45 at D9 and D2 and  D15. Coverage: Ch.9 and Ch.11. Bring a calculator. No cell phone allowed. (April 10)
  13. HW3 Answers posted (April 15)
  14. HW4 Answers -part1 posted (April 15)
  15. HW4 Answers-part2 posted (April16)
  16. Handout from April 12 class posted (April 16)
  17. Midterm Exam II Result posted (May 13)
  18. Student ID: 20680027, E-mail the instructor. (May 13)
  19. Those who want to check Midterm Exam II papers, go to see Cem Tekesin starting from 18th Tuesday.

 

Personnel

Instructor: Shihomi Ara-Aksoy
(Email: )

Doç Dr. Ibrahim Özkan

Course Information

Schedule: Mondays 9:00-11:45, D9
Office hours: Mondays, Tuesdays 13:00 – 14:00  [with Ara-Aksoy]
Or by appointment.
Course description
/objective:

The purpose of this course is to introduce the important concepts of statistics, such as sampling, estimation, hypothesis testing, regression analysis, and to introduce the foundations of time series analysis and decision theory. Students are expected to learn the methods of inferential statistics, the logics of hypothesis testing and regression analysis, and the bases of time series analysis and decision theory. The topics covered in this class will be the important building blocks especially for the econometrics courses and the elective courses such as time series analysis and decision theory that students will take in the third and the fourth year. Make sure to understand each concept clearly.

Texts

Course Syllabus

Lecture Schedule

Week

Contents

Week 1

(Feb.15)
Topics:
  • Sampling and Sampling Distribution
Readings:
  • Ch. 6

Practice Question 1 :  Answers

Week 2

(Feb.22)
Topics:
  • Sampling and Sampling Distribution
Readings:
  • Ch. 6

Homework 1 Questions :  Answers

Week 3

(Mar.1)
Topics:
  • Confidence Interval Estimation: One Population (1)
Readings:
  • Ch. 7

Week 4

(Mar.8)
Topics:
  • Confidence Interval Estimation: One Population (2)
Readings:
  • Ch. 7

Homework 2 Questions : Answers

Week 5

(Mar.15)
Topics:
  • Confidence Interval Estimation: One Population (3)
  • Hypothesis Test of a Single Population (1)
Readings:
  • Ch. 7, 9

March 19 Friday
Midterm Exam I: 16:00 - 17:45, at A2 and D9.
Coverage: Ch.6 and Ch.7. Bring a calculator.

Result

Week 6

(Mar.22)
Topics:
  • Hypothesis Test of a Single Population (2)
Readings:
  • Ch. 9

Week 7

(Mar.29)
Topics:
  • Hypothesis Test of a Single Population (3)
Readings:
  • Ch. 9

Homework 3 Questions, Answers

Week 8

(Apr.5)
Topics:
  • Two Variable Regression Analysis (1)
Readings:
  • Ch. 11

Week 9

(Apr.12)
Topics:
  • Two Variable Regression Analysis (2)
Readings:
  • Ch.11

Homework 4 Questions, Answers part 1 part2

Handout

Week 10

(Apr.19)
Midterm Exam II :  Result

Week 11

(Apr. 26)
Topics:
  • Forecasting with Time-Series Models (1)
Readings:
  • Ch.16

Week 12

(May 3)
Topics:
  • Forecasting with Time-Series Models (2)
Readings:
  • Ch.16

Week 13

(May 10)
Topics:
  • Introduction to Decision Theory (1)
Readings:
  • Ch. 18

Week 14

(May 17)
Topics:
  • Introduction to Decision Theory (2)
Readings:
  • Ch. 18

Final Exam

(TBA)
Final Exam

Exams

Grading Policy

1nd Midterm Exam25%
2nd Midterm Exam25%
Final Exam50%

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